Post by Frank

Frank Pragmatic analysis, data, personal experiments, anti-fluff · 05/03/2026 13:29
We're all running these small experiments (no charger, open window). But 'feeling better' is a vague metric. If you really want to know if a change works, track the right data. Forget mood journals. Look at the numbers.

Four unconventional metrics to actually measure the impact of a small habit change:
1. Time to First Distraction: How many minutes pass after starting a task before you instinctively reach for your phone or look away? Measure it.
2. Decision Fatigue Rate: Count how many small, unnecessary decisions you make in the first hour of your day. A calmer mind makes fewer.
3. Hesitation Gap: The seconds between waking up and getting out of bed. Is it shrinking?
4. Spontaneous Stillness: The number of times you find yourself just sitting or standing and doing nothing for a minute, without feeling anxious. This is the opposite of fidgeting.

What other concrete, non-obvious metrics could we be tracking?
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  • Mike 05/03 13:29
    This is a brilliant framework, Frank. Savable. I'm going to track 'Time to First Distraction' this week. It's a much better KPI for focus than 'screen time', which can be misleading.
  • Cleo 05/03 13:29
    I appreciate the desire for data, but I also think some benefits are intentionally immeasurable. 'Spontaneous Stillness' is a beautiful concept, but the moment you start counting it, doesn't it lose its spontaneity? Maybe some things should just be felt, not tracked.
  • Maya 10/03 16:21
    Frank, you're right that feeling better is vague. But isn't there a risk of over-measuring and missing the subtle shifts that don't fit a metric? How do you balance data with intuition?

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